This file has been generated by the package antaresXpansion. It gives an overview of the results of the investment optimisation problem solved by the package.

General information

Study :

## D:/Users/franconmat/Documents/TP/bbb/Hurdle_costs

Date :

## [1] "2021-09-09 15:22:17 CEST"

Expansion planning options :

## List of 10
##  $ method                : chr "benders_decomposition"
##  $ uc_type               : chr "expansion_fast"
##  $ master                : chr "integer"
##  $ optimality_gap        : num 1e+06
##  $ max_iteration         : num Inf
##  $ cut_type              : chr "yearly"
##  $ week_selection        : logi FALSE
##  $ relaxed_optimality_gap: chr "0.01%"
##  $ y_weights             : logi NA
##  $ ampl                  : list()

Package version :

## [1] '0.15.0'

Best found solution

Total cost :

## 1321430864 euros
## 1321.431 million euros

Investment cost :

## 2.24e+08 euros
## 224 million euros

Production cost :

## 1097430864 euros
## 1097.431 million euros

Invested capacities (in MW):

it year candidate value
52 18 2017 semibase 1400
53 18 2017 peak 1500
54 18 2017 transmission_line 800

Convergence

Number of iterations :

## 18

Number of simulated weeks :

## 1872

Iteration with the (first) best solution :

## 18

Optimality gap - Distance between greatest lower bound and best solution - equal to zero when optimal solution has been reached: (When UC mode is fast or accurate, this gap can be negative due to the approximations of ANTARES’ heuristics. When relaxed UC mode are used, this gap can be slightly negative due to numeric approximations in cuts)

## 609772.2 euros

Convergence of costs

Details for each iteration

Table - invested capacity at each iteration (in MW) :

it peak semibase transmission_line
1 1500.0000 2000.0000 800.0000
2 0.0000 0.0000 1600.0000
3 796.2782 0.0000 1600.0000
4 1517.5583 0.0000 1600.0000
5 2106.5268 0.0000 1600.0000
6 79.0510 1723.8250 1600.0000
7 1522.3176 751.5539 1600.0000
8 2881.9151 0.0000 1600.0000
9 2333.3691 490.5436 1600.0000
10 0.0000 2571.4775 1570.6557
11 353.0738 2202.5242 1297.1222
12 996.3847 2105.4556 1600.0000
13 1355.8994 1391.5352 850.2867
14 1320.9191 1426.8473 1600.0000
15 1590.6600 1494.0072 865.9293
16 1113.1381 1767.7558 855.2314
17 1400.2223 1512.4909 865.2069
18 1500.0000 1400.0000 800.0000

Table - costs a each iteration (in euros) :

it year investment_costs operation_costs overall_costs best_bound best_solution_until_now
1 2017 278000000 NA NA 1072731464 NA
2 2017 16000000 NA NA 1120508158 NA
3 2017 63776694 NA NA 1163784962 NA
4 2017 107053498 NA NA 1199123074 NA
5 2017 142391610 NA NA 1204930152 NA
6 2017 175887308 NA NA 1219638675 NA
7 2017 174978907 NA NA 1245646373 NA
8 2017 188914909 NA NA 1249003273 NA
9 2017 200151075 NA NA 1264274741 NA
10 2017 247139528 NA NA 1271361984 NA
11 2017 232382829 NA NA 1288187060 NA
12 2017 265274087 NA NA 1302637697 NA
13 2017 215095002 NA NA 1314541879 NA
14 2017 223671403 NA NA 1318008438 NA
15 2017 238559541 NA NA 1319051108 NA
16 2017 234438624 NA NA 1319558360 NA
17 2017 228789589 NA NA 1320780281 NA
18 2017 224000000 1097430864 1321430864 1320821092 1321430864

Table - Loss of Load Expectation(in hours) :

area1 area2 invest_peak invest_semibase
it1 0 1.5 0 0
it2 155 670.5 0 0
it3 49 280.5 0 0
it4 10 106.5 0 0
it5 0 40.0 0 0
it6 1 71.0 0 0
it7 0 25.5 0 0
it8 0 3.0 0 0
it9 0 3.5 0 0
it10 0 8.0 0 0
it11 0 8.5 0 0
it12 0 1.0 0 0
it13 0 4.0 0 0
it14 0 3.5 0 0
it15 0 1.5 0 0
it16 0 3.5 0 0
it17 0 3.5 0 0
it18 0 4.5 0 0